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Victor Geadah

Showing results (1-10 of 5) with videos related to

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Biorxiv : the Preprint Server for Biology|November 19, 2025
Inferring learning rules during de novo task learningVictor Geadah, Jonathan W Pillow
Biorxiv : the Preprint Server for Biology|November 28, 2024
Modeling Complex Animal Behavior with Latent State Inverse Reinforcement LearningAditi Jha, Victor Geadah, Jonathan W Pillow
Plos Computational Biology|December 13, 2024
Neural networks with optimized single-neuron adaptation uncover biologically plausible regularizationVictor Geadah, Stefan Horoi, Giancarlo Kerg, et al.
Arxiv|March 10, 2025
Modeling Neural Activity with Conditionally Linear Dynamical SystemsVictor Geadah, Amin Nejatbakhsh, David Lipshutz, et al.
Neural Computation|October 9, 2024
Sparse-Coding Variational AutoencodersVictor Geadah, Gabriel Barello, Daniel Greenidge, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Biorxiv : the Preprint Server for Biology|November 19, 2025
Inferring learning rules during de novo task learningVictor Geadah, Jonathan W Pillow
Biorxiv : the Preprint Server for Biology|November 28, 2024
Modeling Complex Animal Behavior with Latent State Inverse Reinforcement LearningAditi Jha, Victor Geadah, Jonathan W Pillow
Plos Computational Biology|December 13, 2024
Neural networks with optimized single-neuron adaptation uncover biologically plausible regularizationVictor Geadah, Stefan Horoi, Giancarlo Kerg, et al.
Arxiv|March 10, 2025
Modeling Neural Activity with Conditionally Linear Dynamical SystemsVictor Geadah, Amin Nejatbakhsh, David Lipshutz, et al.
Neural Computation|October 9, 2024
Sparse-Coding Variational AutoencodersVictor Geadah, Gabriel Barello, Daniel Greenidge, et al.
Pageof 1